@article{BanbaraInoueKaufmannetal.2018,
  author    = {Banbara, Mutsunori and Inoue, Katsumi and Kaufmann, Benjamin and Okimoto, Tenda and Schaub, Torsten H. and Soh, Takehide and Tamura, Naoyuki and Wanko, Philipp},
  title     = {teaspoon},
  series = {Annals of operation research},
  volume    = {275},
  journal   = {Annals of operation research},
  number    = {1},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {0254-5330},
  doi       = {10.1007/s10479-018-2757-7},
  pages     = {3 -- 37},
  year      = {2018},
  abstract  = {Answer Set Programming (ASP) is an approach to declarative problem solving, combining a rich yet simple modeling language with high performance solving capacities. We here develop an ASP-based approach to curriculum-based course timetabling (CB-CTT), one of the most widely studied course timetabling problems. The resulting teaspoon system reads a CB-CTT instance of a standard input format and converts it into a set of ASP facts. In turn, these facts are combined with a first-order encoding for CB-CTT solving, which can subsequently be solved by any off-the-shelf ASP systems. We establish the competitiveness of our approach by empirically contrasting it to the best known bounds obtained so far via dedicated implementations. Furthermore, we extend the teaspoon system to multi-objective course timetabling and consider minimal perturbation problems.},
  language  = {en}
}